AI Platform Engineer - Hybrid Cloud & Automation

University of Wisconsin; United States; On-site; USD 110,000 - 130,000; Full time

Job summary

The Division of Information Technology (DoIT) at University of Wisconsin–Madison is seeking an AI Solutions Engineer to design, build, operate, and continuously improve cloud and hybrid platforms that support AI-enabled services. You will manage multi-cloud infrastructure, automation, security, observability, and governance to empower development teams and deliver reliable, scalable AI solutions.

As part of the Integrated Business Solutions team, you will establish platform standards, streamline

Qualifications

• Experience designing, developing, deploying, and supporting production software applications using modern languages.
• Experience provisioning and supporting cloud infrastructure with AWS, Azure or GCP and IaC tools such as Terraform.
• Experience implementing CI/CD pipelines and modern DevOps practices in production environments.

Responsibilities

• Lead design, deployment, operation, and continuous improvement of hybrid AI platforms and services.
• Architect and maintain secure infrastructure, automation, and CI/CD pipelines for scalable deployments.
• Implement observability, monitoring, logging, and security practices to ensure platform reliability.

Skills

Python

Go

Rust

CI/CD

DevOps

Monitoring

Observability

Hybrid cloud

Education

Bachelor’s Degree in Computer Science, IT or related

Tools

AWS

Azure

GCP

Terraform

Kubernetes

Job description

The Division of Information Technology (DoIT) at University of Wisconsin–Madison is seeking an AI Solutions Engineer to design, build, operate, and continuously improve cloud and hybrid platforms that support AI-enabled services. You will manage multi-cloud infrastructure, automation, security, observability, and governance to empower development teams and deliver reliable, scalable AI solutions.

As part of the Integrated Business Solutions team, you will establish platform standards, streamline